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Ricardo I. Pérez-Martín

Researcher at Spanish National Research Council

Publications -  127
Citations -  4664

Ricardo I. Pérez-Martín is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Merluccius merluccius & Restriction enzyme. The author has an hindex of 36, co-authored 123 publications receiving 4060 citations. Previous affiliations of Ricardo I. Pérez-Martín include IFREMER & University of Vigo.

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Use of mtDNA Direct Polymerase Chain Reaction (PCR) Sequencing and PCR-Restriction Fragment Length Polymorphism Methodologies in Species Identification of Canned Tuna

TL;DR: The suitability of a genetic distance measurement with phylogenetic tree construction method for the identification of canned tuna species using two cytochrome b sequences (299 and 126 bp) was studied.
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Challenges in the identification of species of canned fish

TL;DR: The identification of fish species becomes a problem when the usual identifying characteristics are removed on processing and only a portion of flesh is available and DNA is also degraded.
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Towards sustainable and efficient use of fishery resources: present and future trends

TL;DR: In this article, the present utilization of discards and fishery wastage and also the future trends and the expected future of fishery industry are presented, as well as the future trend and expected future future of industry.
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Optimization of the Thermal Processing of Conduction-Heated Canned Foods: Study of Several Objective Functions

TL;DR: The ICRS/DS algorithm as discussed by the authors is based on the combination of a robust parameterization of the control function and a computationally efficient nonlinear programing algorithm of unconditional convergence, which is applied to the optimization of the thermal processing of conduction-heated canned foods, attaining for the first time optimum temperature-time profiles for different objective functions.
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Use of restriction fragment length polymorphism to distinguish between salmon species

TL;DR: Results indicate that it is possible to differentiate between all 10 salmon species and that the technique could be easily adopted by the food industry for analysis of processed salmon products.